Modeling Users' Mobile App Privacy Preferences: Restoring Usability in a Sea of Permission Settings

Abstract

In this paper, we investigate the feasibility of identifying a small set of privacy profiles as a way of helping users manage their mobile app privacy preferences. Our analysis does not limit itself to looking at permissions people feel comfortable granting to an app. Instead it relies on static code analysis to determine the purpose for which an app… (More)

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@inproceedings{Lin2014ModelingUM, title={Modeling Users' Mobile App Privacy Preferences: Restoring Usability in a Sea of Permission Settings}, author={Jialiu Lin and Bin Liu and Norman M. Sadeh and Jason I. Hong}, booktitle={SOUPS}, year={2014} }